Keywords
human-robot interaction (HRI)
pre-service teachers
personalized learning and collaborative learning
Indonesia
How to Cite
Abstract
The rapid advancement of Artificial Intelligence in education (AIEd) presents unprecedented opportunities to improve learner engagement through personalized instruction and human-robot social interaction (HRSI). However, AI implementation in preservice teacher education in Indonesia remains limited and underexplored. This study investigates the impact of AI-powered personalization on learning outcomes and social interactions among Indonesian preservice teachers. Employing a mixed-method design, the study involved 20 participants using the virtual AI tutor "Cicibot" to support personalized and collaborative learning. Quantitative data were collected via structured questionnaires and analyzed using Pearson correlation, while qualitative insights were obtained from semi-structured interviews. Findings reveal a significant and positive correlation between AI-driven personalization, learner engagement, and social interaction, highlighting the effectiveness of AI tools in fostering meaningful collaboration. This study provides practical implications for AI integration in educational settings, offering insights for future policy and curriculum development in technologically emergent regions.
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